Conditions for Confidence Interval for p
MOE's
Z* critical values
Standard Deviations/Standard Errors
Previous Chapters
Confidence Intervals for Differences in 2 Proportions
100

The method of sampling required for a confidence interval for p.

What is a random sample or simple random sample (SRS) from the population of interest?

100

The margin of error only accounts for this.

What is sampling variability?

100

Critical value for a 95% 1 sample z interval for a proportion rounded to two decimal places.

What is 1.96?

100

If n = 100 and p-hat = .3, what is the standard error to four decimal places.

What is .0458?

100

The slope of a linear regression, b, can be calculated with this formula.

What is b = r*sy/sx ?

100

To develop a confidence interval for the difference in two proportions p1 - p2 ,  3 condition must be met.  They are:

What is (1) random - data come from two independent random samples or two groups in a randomized experiment, (2) 10% condition when sampling without replacement n1 < .10 Nand n2 < .10 N2 (if an experiment, randomly assign treatments to both groups, (3) Large Counts - at least 10 successes and 10 failures in both groups.

200

nhatp and n(1 - hatp)

What is the large counts condition?

200

The MOE for a confidence interval for a proportion is this (give the formula).

What is  hat p +-sqrt((hatp(1-hatp))/n 

200

Critical value for a 90% 1 sample z interval for a proportion rounded to three decimal places.

What is 1.645?

200

The standard deviation is a) larger or b) smaller if you were to sample without replacement and if you were to sample more than 10% (which we're not going to do).

What is smaller?

200

To linearize data, if (log x, log y) linearizes the data then a ___________ model is appropriate.

What is a Power Model?

200

For #8.62 on p. 574, answer the question.

What is (a) random - yes, crackers were assigned to one of two treatment groups, (b) The 10% condition does not apply because no sampling took place - this was an experiment with random assignment of treatments, (c) large counts - not met - there are fewer than 10 successes (0 in the the microwave group)?

300

To assure that the sampling distribution is approximately Normal we need the...

What is the large counts (Normality Condition). n*p greater or = to 10 and n*(1-p) greater or = 10.

300

True or False:  MOE includes response and nonresponse biases.

What is FALSE?

300

Critical value for a 99% 1 sample z interval for a proportion rounded to three decimal places.

What is 2.576?

300

When sampling without replacement, we check the 10% condition (sample less than 10% of the population), so that __________.

What is to account for the fact that we are sampling without replacement and the observations are actually not independent, so by sampling less than 10% of the population are standard deviation (error) is approx. correct, so our standard deviation (standard error) can be used fairly accurately in Normal calculations?

300

The least squares regression line always goes through ______. 

What is 

(barx, bary)?

300

For #64 p. 574, answer the question:

What is (a) random - independent random samples were taken - condition met; (b) 10% condition - yes, 500 is less than 10% of all DVDs produced by each machine, (c) Large Counts - 480, 20, 484, 16 are all greater than or = to 10 - condition met?

400

When sampling without replacement, this condition is needed.

What is the 10% condition.  n < .10N  meaning, you must sample less than 10% of the population.

400

To cut the MOE in half, do this to n (the sample size).

What is multiply the sample size by 4?

400

Critical value for a 86% 1 sample z interval for a proportion rounded to two decimal places.

What is 1.48?

400

If n = 100 and p-hat = .4, what is the standard error to three decimal places.

What is .049?

400

P (A/B)    Give definition

 (P (AnnB))/(P(B))?

400

For #72 p. 575, answer letter (a).

What is we do NOT have convincing evidence that the two population proportions are different because the interval includes 0 as a plausible value for the difference (rural - urban) in the true proportion of households that have a natural tree?

500

If your sample is a voluntary response sample or a convenience sample and you are going to construct a confidence interval for p, you must make this/these adjustment(s).

What is no adjustments can be made.  You must trash your sample results and start over with an SRS from the population of interest.

500

2 ways to shorten (or reduce) a confidence interval.

What are 1) increase the sample size and 2) lower the confidence level?

500

Critical value for a 94% 1 sample z interval for a proportion rounded to two decimal places.

What is 1.88?

500

If were were determining the sample size, n, needed to be sure that the margin of error for your 1 sample 95% confidence interval for a population proportion was less than 2 % (.02) and no pilot proportion was given, you would use (a) what value for p-hat and b) what is the sample size needed.

a) What is use .5 for p-hat and b) What is n = 2,401?

500
Al scores a goal 20% of the time he shoots on goal. Al's expected value ux = 2 (if he takes 10 shots).  

Assuming this qualifies for a binomial distribution (does it?), what is the probability Al scores more than 2 goals in 10 shots to four decimal places?

What is .3222?

500

For #72 p. 575 answer letter (b):

What is no? Because 0 is captured in the interval, it is plausible that the population proportions are equal, but this does NOT provide convincing evidence that the two proportions are equal.

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